In automated flight, the planning and the execution are handled by different parties. The crew defines the plan — the profile, the speed schedule, the energy gates — and the automation executes it. The crew monitors and intervenes when required. The quality of the outcome reflects the quality of the planning and the monitoring, but the execution itself has a system doing it precisely and consistently, unconstrained by workload or fatigue.
In manual flight, that separation disappears. The pilot is both the planner and the executor. The profile the crew has briefed must be flown through the pilot's own control inputs — pitch, power, configuration, timing. Every energy management decision that the FMS would otherwise make automatically is instead a pilot judgement, applied through the controls in real time. Optimum operational performance in this context is not the output of a system doing its job well. It is the output of a pilot whose preparation, knowledge, and technique are all performing together.
This makes the briefing more critical in manual flight, not less. Without a clear, shared definition of what optimum looks like on this sector — the target speeds, the energy gates, the configuration plan — the pilot flying has no fixed reference against which to measure their own performance. They are improvising an outcome rather than executing a plan. And improvised outcomes in manual flight are more variable, more workload-intensive, and less likely to achieve optimum than planned ones.
Defining Optimum Before the Flight
Optimum is not a default. On any given flight it is the intersection of competing constraints — fuel plan, noise abatement, passenger comfort, track miles, continuous descent procedures, airspace restrictions, and the specific performance characteristics of the aircraft on the day. In automated flight, the FMS navigates much of this intersection for the crew. In manual flight, the pilot navigates it directly through their own inputs, which means it must be thought through explicitly before the flight begins.
The briefing is where this definition happens. A crew that agrees, before the descent, what the priority is for this approach — whether the CDA profile takes precedence over a slightly earlier speed reduction, whether noise abatement geometry affects the descent angle, what the fuel state implies for the discretion available in the profile — has created a shared understanding that both pilots can execute against and measure performance against. Deviations from that plan are recognisable. Adjustments are deliberate. The flight is managed, not improvised.
In manual flight, the briefing is not just a shared mental model — it is the specification the pilot is executing against. Without it, optimum is whatever happens to result from the inputs made on the day.
What the Pilot Needs to Know
In automated flight, aircraft performance knowledge helps the crew anticipate what the automation will do. In manual flight, that knowledge directly governs what the pilot does. Understanding how the aircraft's speed, altitude, and configuration interact — how much pitch change produces what rate of descent at this weight, how early the speed needs to be reducing for the next constraint to be met without a level-off, how the drag from a specific configuration affects the rate at which potential energy converts — is the applied knowledge that separates manual flying that achieves optimum from manual flying that achieves adequate.
The pilot who understands these relationships does not discover the energy shortfall at the constraint. They anticipated it three miles earlier, recognised the trend before it became a deficit, and made the correction when it was small. The correction was invisible because it was timely. The aircraft arrived at the constraint in the right state because the pilot was managing the energy to that point, not reacting to missing it.
This is where currency matters. The pilot who hand-flies regularly maintains an intuitive feel for their aircraft's performance characteristics — how it responds at different weights, how much energy is carried into a configuration change, where the speed tends to trend in a descent. That feel is not a substitute for knowledge, but it is knowledge made reflexive — available without conscious computation, freeing cognitive bandwidth for monitoring and judgement rather than calculation.
The PM as Performance Monitor
Achieving optimum performance in manual flight is a crew task, not a solo one. The pilot flying is managing the aircraft through the controls. The pilot monitoring is tracking the performance against the plan — watching the energy state, checking the constraints, calling deviations before they grow into corrections. This monitoring function is the PM's specific contribution to optimum performance during a manual flying phase.
In automated flight, the FMS provides a continuous reference — the crew can see whether the aircraft is on the profile, ahead of it, or behind it. In manual flight, that reference is the briefed plan, and it exists only in the shared mental model the crew established before the flight. The PM who holds that plan explicitly — who knows the target speed at each gate and calls deviations in real time — gives the pilot flying the same quality of reference that the automation would otherwise provide. The PM who is passively observing without a clear performance picture in mind provides no such reference, and the pilot flying is left to self-monitor against a plan they are simultaneously executing.
There are phases where the optimum performance achievable in manual flight is genuinely different from the optimum achievable in automated flight — and the crew that does not recognise this will set targets that the manual flying context cannot reliably meet. A CDA profile that the automation executes with precision may require small interventions and good energy management to fly accurately by hand. The optimum for that sector in manual flight may be a slightly earlier configuration change or a marginally different speed schedule — not because the performance target is lower, but because the execution method is different.
A crew that has agreed this distinction during the briefing — that has explicitly discussed what optimum looks like when hand-flying — is operating with a realistic plan. A crew that applies the automated flight plan unchanged to a manual flying phase may find that the targets are consistently slightly out of reach, and spend the descent managing the gap rather than flying the profile.
Execution — Active Management Through the Controls
With the plan defined and the crew aligned, execution in manual flight is the continuous comparison of actual performance against the briefed profile — applied through control inputs rather than system selections. The monitoring is the same discipline that underlies all flight path management. The difference is that the corrections are physical, immediate, and entirely the pilot's own responsibility.
Good execution in manual flight looks unremarkable. The aircraft tracks the profile. The energy arrives at each constraint in the right state. The corrections that keep it there are small — a gentle pitch adjustment, a small power change — because they are made early, when the deviation is a trend rather than a deficit. The PM's callouts are confirmatory rather than corrective. The approach arrives at the gate stable and on energy because the pilot was managing the outcome, not reacting to it.
The measure of the behaviour is not whether the final approach is stabilised. It is whether the performance across the entire manual flying phase reflects a crew that was ahead of the aircraft — managing the profile rather than following it. That standard, consistently achieved, is what optimum operational performance in manual flight requires.
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